Wang Jue

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A noninvasive EEG biofeedback system based on virtual reality (VR) environment is developed. The system translates EEG signals into movement and interaction. VR environment provides an ideal medium to represent the spatial and temporal nature of electrical activity emanating from the brain. The VR environment is developed based on MS DirectX technique.(More)
Previous experimental work has shown that the firing rate of multiple time-scales of adaptation for single rat neocortical pyramidal neurons is consistent with fractional-order differentiation, and the fractional-order neuronal models depict the firing rate of neurons more verifiably than other models do. For this reason, the dynamic characteristics of the(More)
AIMS We previously demonstrated that resveratrol (RSV) administration causes cardiac stromal cell-derived factor (SDF)-1 upregulation and can enhance the mobilization of stem cells in mice with acute myocardial infarction (AMI). However, the upstream signal transduction involved in SDF-1 regulation in the setting of AMI and RSV administration remains(More)
Ad Hoc networks are distributed self-organizing networks, whose topologies often encounter failures caused by node mobility and wireless links, which has negative impact to network performances. This paper proposed a topology reconfiguration scheme for Ad Hoc networks, which consists of topology reconfiguration triggering stage and topology reconfiguring(More)
In view of students' individual difference in the learning process, in this paper we propose a personalized learning system, to which intelligent Agent technique and case-based reasoning mechanism are both applied, then we present a network learning environment based on mobile Agent and illustrate the environment's structure, working process, reasoning(More)
Non-negative matrix factorization (NMF) is an algorithm that is able to learn a parts-based representation. The paper proposes a new spontaneous EEG classification method for attention-related tasks. NMF was employed as feature extraction tool, which leads to more localized and sparse features than other two reference methods: power spectrum method and(More)
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